Short-lead seasonal precipitation forecast in northeastern Brazil using an ensemble of artificial neural networks

• Published in: Scientific reports Vol. 13; no. 1; pp. 20429 - 14
• Main Authors: Pinheiro, Enzo, Ouarda, Taha B. M. J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 22.11.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 704/106/35/823; 704/829; Atmospheric dynamics; Climate prediction; ENVIRONMENTAL SCIENCES; Forecasting; Humanities and Social Sciences; Mathematical models; multidisciplinary; Neural networks; Ocean sciences; Science; Science & Technology; Science (multidisciplinary); Spatial analysis; Statistical analysis; Statistical models; Brazil

This study assesses the deterministic and probabilistic forecasting skill of a 1-month-lead ensemble of Artificial Neural Networks (EANN) based on low-frequency climate oscillation indices. The predictand is the February-April (FMA) rainfall in the Brazilian state of Ceará, which is a prominent subj...